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Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Partitioning

by N. Jayanth Karthik, E. Chandrasekaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 9
Year of Publication: 2013
Authors: N. Jayanth Karthik, E. Chandrasekaran
10.5120/10665-5438

N. Jayanth Karthik, E. Chandrasekaran . Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Partitioning. International Journal of Computer Applications. 64, 9 ( February 2013), 35-38. DOI=10.5120/10665-5438

@article{ 10.5120/10665-5438,
author = { N. Jayanth Karthik, E. Chandrasekaran },
title = { Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Partitioning },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 9 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number9/10665-5438/ },
doi = { 10.5120/10665-5438 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:58.830342+05:30
%A N. Jayanth Karthik
%A E. Chandrasekaran
%T Solving Fully Fuzzy Linear Systems with Trapezoidal Fuzzy Number Matrices by Partitioning
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 9
%P 35-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a fully fuzzy linear system is solved by partitioning the coefficient matrix into sub matrices with trapezoidal fuzzy number matrices. The method is illustrated with numerical examples.

References
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  9. Zhang. F,2005 The Schur complement and its applications ,Springer
Index Terms

Computer Science
Information Sciences

Keywords

Fully Fuzzy Linear Systems Trapezoidal fuzzy number matrices partitioning Schur complement

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